|ZFIN ID: ZDB-PUB-171209-6|
Fully Automated Pipetting Sorting System for Different Morphological Phenotypes of Zebrafish Embryos
Breitwieser, H., Dickmeis, T., Vogt, M., Ferg, M., Pylatiuk, C.
|Source:||SLAS technology 23(2): 128-133 (Journal)|
|Registered Authors:||Dickmeis, Thomas, Ferg, Marco, Pylatiuk, Christian|
|Keywords:||automatic sorting, morphological classification, phenotype, rx3 mutant, zebrafish embryo|
|PubMed:||29220613 Full text @ SLAS Technol|
Breitwieser, H., Dickmeis, T., Vogt, M., Ferg, M., Pylatiuk, C. (2017) Fully Automated Pipetting Sorting System for Different Morphological Phenotypes of Zebrafish Embryos. SLAS technology. 23(2):128-133.
ABSTRACTSystems biology methods, such as transcriptomics and metabolomics, require large numbers of small model organisms, such as zebrafish embryos. Manual separation of mutant embryos from wild-type embryos is a tedious and time-consuming task that is prone to errors, especially if there are variable phenotypes of a mutant. Here we describe a zebrafish embryo sorting system with two cameras and image processing based on template-matching algorithms. In order to evaluate the system, zebrafish rx3 mutants that lack eyes due to a patterning defect in brain development were separated from their wild-type siblings. These mutants show glucocorticoid deficiency due to pituitary defects and serve as a model for human secondary adrenal insufficiencies. We show that the variable phenotypes of the mutant embryos can be safely distinguished from phenotypic wild-type zebrafish embryos and sorted from one petri dish into another petri dish or into a 96-well microtiter plate. On average, classification of a zebrafish embryo takes approximately 1 s, with a sensitivity and specificity of 87% to 95%, respectively. Other morphological phenotypes may be classified and sorted using similar techniques.